利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。

Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.

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把影像的空间信息融入分类决策，提出了一种基于证据理论与神经网络的遥感影像分类方法。

The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.

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利用系统的冗余信息，提出了基于D - S证据理论对集成神经网络的输出进行融合的方法。

To take advantage of redundancy information, this paper gives a new method that implement the output data fusion of integrated neural network based on the D-S evidence theory.

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